vae_decoder.xml

<?xml version="1.0"?>
<net name="torch_jit" version="11">
	<layers>
		<layer id="0" name="latents" type="Parameter" version="opset1">
			<data shape="1,4,64,64" element_type="f32" />
			<rt_info>
				<attribute name="old_api_map_element_type" version="0" value="f16" />
			</rt_info>
			<output>
				<port id="0" precision="FP32" names="latents">
					<dim>1</dim>
					<dim>4</dim>
					<dim>64</dim>
					<dim>64</dim>
				</port>
			</output>
		</layer>
		<layer id="1" name="Constant_5736_compressed" type="Const" version="opset1">
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			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="2" name="Constant_5736" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="3" name="Constant_5732_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 1, 512" offset="1024" size="1024" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="4" name="Constant_5732" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>1</dim>
					<dim>512</dim>
				</port>
			</output>
		</layer>
		<layer id="5" name="vae.post_quant_conv.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="4, 4, 1, 1" offset="2048" size="32" />
			<output>
				<port id="0" precision="FP16">
					<dim>4</dim>
					<dim>4</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="6" name="vae.post_quant_conv.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>4</dim>
					<dim>4</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="vae.post_quant_conv.weight">
					<dim>4</dim>
					<dim>4</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="7" name="/post_quant_conv/Conv/WithoutBiases" type="Convolution" version="opset1">
			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>4</dim>
					<dim>64</dim>
					<dim>64</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>4</dim>
					<dim>4</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>4</dim>
					<dim>64</dim>
					<dim>64</dim>
				</port>
			</output>
		</layer>
		<layer id="8" name="Reshape_153_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 4, 1, 1" offset="2080" size="8" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>4</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="9" name="Reshape_153" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>4</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>4</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="10" name="/post_quant_conv/Conv" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>4</dim>
					<dim>64</dim>
					<dim>64</dim>
				</port>
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					<dim>1</dim>
					<dim>4</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="/post_quant_conv/Conv_output_0">
					<dim>1</dim>
					<dim>4</dim>
					<dim>64</dim>
					<dim>64</dim>
				</port>
			</output>
		</layer>
		<layer id="11" name="vae.decoder.conv_in.weight_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="512, 4, 3, 3" offset="2088" size="36864" />
			<output>
				<port id="0" precision="FP16">
					<dim>512</dim>
					<dim>4</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="12" name="vae.decoder.conv_in.weight" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>512</dim>
					<dim>4</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32" names="vae.decoder.conv_in.weight">
					<dim>512</dim>
					<dim>4</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="13" name="/decoder/conv_in/Conv/WithoutBiases" type="Convolution" version="opset1">
			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>4</dim>
					<dim>64</dim>
					<dim>64</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>512</dim>
					<dim>4</dim>
					<dim>3</dim>
					<dim>3</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>64</dim>
					<dim>64</dim>
				</port>
			</output>
		</layer>
		<layer id="14" name="Reshape_168_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 512, 1, 1" offset="38952" size="1024" />
			<output>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="15" name="Reshape_168" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
			</rt_info>
			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</output>
		</layer>
		<layer id="16" name="/decoder/conv_in/Conv" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>64</dim>
					<dim>64</dim>
				</port>
				<port id="1" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="/decoder/conv_in/Conv_output_0">
					<dim>1</dim>
					<dim>512</dim>
					<dim>64</dim>
					<dim>64</dim>
				</port>
			</output>
		</layer>
		<layer id="17" name="/decoder/mid_block/resnets.0/norm1/Constant" type="Const" version="opset1">
			<data element_type="i64" shape="3" offset="39976" size="24" />
			<output>
				<port id="0" precision="I64" names="/decoder/mid_block/resnets.0/norm1/Constant_output_0">
					<dim>3</dim>
				</port>
			</output>
		</layer>
		<layer id="18" name="/decoder/mid_block/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
			<data special_zero="true" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>64</dim>
					<dim>64</dim>
				</port>
				<port id="1" precision="I64">
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				</port>
			</input>
			<output>
				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/norm1/Reshape_output_0">
					<dim>1</dim>
					<dim>32</dim>
					<dim>65536</dim>
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		</layer>
		<layer id="19" name="Constant_178" type="Const" version="opset1">
			<data element_type="i64" shape="1" offset="40000" size="8" />
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		<layer id="20" name="MVN_179" type="MVN" version="opset6">
			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
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					<dim>65536</dim>
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				<port id="1" precision="I64">
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			<output>
				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/norm1/InstanceNormalization_output_0">
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					<dim>65536</dim>
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		<layer id="21" name="/decoder/mid_block/resnets.0/norm1/Shape" type="ShapeOf" version="opset3">
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				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>64</dim>
					<dim>64</dim>
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			<output>
				<port id="1" precision="I64" names="/decoder/mid_block/resnets.0/norm1/Shape_output_0">
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		<layer id="22" name="/decoder/mid_block/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
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					<dim>1</dim>
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					<dim>65536</dim>
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			<output>
				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/norm1/Reshape_1_output_0">
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					<dim>64</dim>
					<dim>64</dim>
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		</layer>
		<layer id="23" name="Constant_5726_compressed" type="Const" version="opset1">
			<data element_type="f16" shape="1, 512, 1, 1" offset="40008" size="1024" />
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				<port id="0" precision="FP16">
					<dim>1</dim>
					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
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		</layer>
		<layer id="24" name="Constant_5726" type="Convert" version="opset1">
			<data destination_type="f32" />
			<rt_info>
				<attribute name="decompression" version="0" />
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			<input>
				<port id="0" precision="FP16">
					<dim>1</dim>
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			<output>
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					<dim>512</dim>
					<dim>1</dim>
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		<layer id="25" name="/decoder/mid_block/resnets.0/norm1/Mul" type="Multiply" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>64</dim>
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					<dim>512</dim>
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					<dim>512</dim>
					<dim>64</dim>
					<dim>64</dim>
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		</layer>
		<layer id="26" name="Constant_5727_compressed" type="Const" version="opset1">
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				<attribute name="decompression" version="0" />
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		<layer id="28" name="/decoder/mid_block/resnets.0/norm1/Add" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
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				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>64</dim>
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				<port id="1" precision="FP32">
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					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
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			<output>
				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/norm1/Add_output_0">
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					<dim>64</dim>
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				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>64</dim>
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					<dim>64</dim>
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					<dim>512</dim>
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					<dim>512</dim>
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					<dim>512</dim>
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					<dim>512</dim>
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					<dim>1</dim>
					<dim>512</dim>
					<dim>64</dim>
					<dim>64</dim>
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				<attribute name="decompression" version="0" />
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					<dim>512</dim>
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					<dim>512</dim>
					<dim>1</dim>
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		<layer id="35" name="/decoder/mid_block/resnets.0/conv1/Conv" type="Add" version="opset1">
			<data auto_broadcast="numpy" />
			<input>
				<port id="0" precision="FP32">
					<dim>1</dim>
					<dim>512</dim>
					<dim>64</dim>
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				<port id="1" precision="FP32">
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					<dim>512</dim>
					<dim>1</dim>
					<dim>1</dim>
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			<output>
				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/conv1/Conv_output_0">
					<dim>1</dim>
					<dim>512</dim>
					<dim>64</dim>
					<dim>64</dim>
				</port>
			</output>
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